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Title: Optimal Regulation of Virtual Power Plants

Abstract

This paper develops a real-time algorithmic framework for aggregations of distributed energy resources (DERs) in distribution networks to provide regulation services in response to transmission-level requests. Leveraging online primal-dual-type methods for time-varying optimization problems and suitable linearizations of the nonlinear AC power-flow equations, we believe this work establishes the system-theoretic foundation to realize the vision of distribution-level virtual power plants. The optimization framework controls the output powers of dispatchable DERs such that, in aggregate, they respond to automatic-generation-control and/or regulation-services commands. This is achieved while concurrently regulating voltages within the feeder and maximizing customers' and utility's performance objectives. Convergence and tracking capabilities are analytically established under suitable modeling assumptions. Simulations are provided to validate the proposed approach.

Authors:
ORCiD logo; ORCiD logo; ; ORCiD logo; ORCiD logo
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1423549
Report Number(s):
NREL/JA-5D00-67654
Journal ID: ISSN 0885-8950
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Volume: 33; Journal Issue: 2; Journal ID: ISSN 0885-8950
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; distribution systems; distributed energy resources; virtual power plants; real-time control; time-varying optimization

Citation Formats

Dall Anese, Emiliano, Guggilam, Swaroop S., Simonetto, Andrea, Chen, Yu Christine, and Dhople, Sairaj V.. Optimal Regulation of Virtual Power Plants. United States: N. p., 2018. Web. doi:10.1109/TPWRS.2017.2741920.
Dall Anese, Emiliano, Guggilam, Swaroop S., Simonetto, Andrea, Chen, Yu Christine, & Dhople, Sairaj V.. Optimal Regulation of Virtual Power Plants. United States. doi:10.1109/TPWRS.2017.2741920.
Dall Anese, Emiliano, Guggilam, Swaroop S., Simonetto, Andrea, Chen, Yu Christine, and Dhople, Sairaj V.. Thu . "Optimal Regulation of Virtual Power Plants". United States. doi:10.1109/TPWRS.2017.2741920.
@article{osti_1423549,
title = {Optimal Regulation of Virtual Power Plants},
author = {Dall Anese, Emiliano and Guggilam, Swaroop S. and Simonetto, Andrea and Chen, Yu Christine and Dhople, Sairaj V.},
abstractNote = {This paper develops a real-time algorithmic framework for aggregations of distributed energy resources (DERs) in distribution networks to provide regulation services in response to transmission-level requests. Leveraging online primal-dual-type methods for time-varying optimization problems and suitable linearizations of the nonlinear AC power-flow equations, we believe this work establishes the system-theoretic foundation to realize the vision of distribution-level virtual power plants. The optimization framework controls the output powers of dispatchable DERs such that, in aggregate, they respond to automatic-generation-control and/or regulation-services commands. This is achieved while concurrently regulating voltages within the feeder and maximizing customers' and utility's performance objectives. Convergence and tracking capabilities are analytically established under suitable modeling assumptions. Simulations are provided to validate the proposed approach.},
doi = {10.1109/TPWRS.2017.2741920},
journal = {IEEE Transactions on Power Systems},
issn = {0885-8950},
number = 2,
volume = 33,
place = {United States},
year = {2018},
month = {3}
}